EXPERIMENTAL TESTING OF WAVE TRANSMISSION COEFFICIENTS FOR OYSTER SHELL-FILLED BAG BERMS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate change and rising sea levels pose a significant risk of extreme flooding and erosion in coastal zones, requiring adaptation to make the shorelines more resilient. Berms composed of oyster shell filled-bags have been implemented at shorelines in western Canada (Provan et al., 2023) and in the United States (Milligan et al., 2018; Spiering et al., 2021; Wellman et al., 2021, among others) to provide a nature-based solution to reduce shoreline erosion or help stabilize restored salt marshes. However, there is limited available information on the performance and ability of these oyster shell berms in terms of wave attenuation. Previous experimental studies have been conducted to address this lack of information (Allen and Web, 2011; Coghlan et al., 2017); however, the studies were limited in tested wave conditions and sizes of the tested oyster shell filled-bags. To address this, a series of full-scale (1:1) physical model experiments were carried out to investigate the wave attenuation ability of oyster shell bags for different bag sizes and configurations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it